Python Batch-sampler Resources

Intro Official implementation of "Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation" Robotics:Science and

HrFlow Importer Description A python package for batch import of resume attachments to be parsed in HrFlow. hrflow-importer is an open-source project

Batch obfuscator based on the obfuscation method used by the trick bot launcher

This project is intended to implement a solution designed to extract, transform and load Chicago crime data from an RDS instance to other services in AWS.

Ducksploit Install Ducksploit Hacker setup raspberry pico Download https://githu

grocy-create-product This script supports the batch creation of new products in

Simple avogadr.io batch downloader python script

VDLdraw Batch plot the log files exported from VisualDL using Matplotlib. At pre

3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces Installation After cloning the repo open

Batch Active learning by Diverse Gradient Embeddings (BADGE) An implementation of the BADGE batch active learning algorithm. Details are provided in o

Overview This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algori

SpecAugment An implementation of SpecAugment for Pytorch How to use Install pytorch, version=1.9.0 (new feature (torch.Tensor.take_along_dim) is used

MetaMove MetaMove is written in Python3 and aims at easing batch renaming operations based on file meta data. MetaMove abuses eval combined with f-str

easy_sbatch - Batch submitting Slurm jobs with script templates

mnamer mnamer (media renamer) is an intelligent and highly configurable media organization utility. It parses media filenames for metadata, searches t

Google Text-To-Speech Batch Prompt File Maker Are you in the need of IVR prompts, but you have no voice actors? Let Google talk your prompts like a pr

ElasticBatch Elasticsearch buffer for collecting and batch inserting Python data and pandas DataFrames Overview ElasticBatch makes it easy to efficien

AWS RoseTTAFold Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch. Overview Proteins are large biomolecules that play

a python prompt cli script for blender batch render In deep generative geometry learning, we always get many .obj files to be rendered. Our rendered i

🌞 gm Good Morning! Usage Simply copy the channel_list to gm.py and fill authorization_list with authorization token(s). Enjoy. Authorization Please r

When dealing with hundreds of library files it becomes tedious to mark their contents as assets. Using python to automate the process is a perfect fit

Automated Learning Rate Scheduler for Large-Batch Training The official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th

Découvrez CubeCraft Launcher, une application uniquement codé en Python et en Batch. Grâce à son interface graphique facile et intuitive, vous pouvez vous retrouver facilement.

Demise-Assistant-Python An alternative to Demise-Assistant-Batch made entirely in Python for more capabilities. IMPORTANT NOTE Demise-Assistant-Batch

We want to check several batch of web URLs (1~100 K) and find the phishing website/URL among them. This module is designed to do the URL/web attestation by using the API from NUS-Phishperida-Project.

Open-source command-line tool to run batch computing tasks and workflows on backend services such as Google Cloud.

Purpose: This is integrate bus data from a variety of sources such as: csv, json api, sensor data ... into Relational Database (batch processing and r

README Implementation of OpenAI paper "An Empirical Model of Large-Batch Training" for Fastai V2. The code is based on the batch size finder implement

zeus is a Python implementation of the Ensemble Slice Sampling method. Fast & Robust Bayesian Inference, Efficient Markov Chain Monte Carlo (MCMC), Bl

Bodywork deploys machine learning projects developed in Python, to Kubernetes. It helps you to: serve models as microservices execute batch jobs run r

PDF Batch Renamer Made for IEEE CS SBC, SJCE How to use? Before using the python script, ensure that pytesseract, pdf2image, opencv and other supporti

Batch processing with AWS Batch and CDK Welcome This repository demostrates provisioning the necessary infrastructure for running a job on AWS Batch u

Fasta Uploader A tool for batch processing large fasta files and accompanying metadata table to repositories via API The python fasta_uploader.py scri

PySimpleGUI numpy pandas pymysql chardet

batch-bandits Implementation of popular bandit algorithms in batch environments. Source code to our paper "The Impact of Batch Learning in Stochastic

shor Windows Shortcut Creation Create Windows Shortcuts to your python programs and any other file easily using this application created using PySimpl

Script_Quickies Public repo for automation scripts Dependencies Chrome webdriver .exe (make sure it matches the version of chrome you are using) Selen

Batch Python Program Verify About As a TA(teaching assistant) of Programming Class, it is very annoying to test students' homework assignments one by

ezcox: Easily Process a Batch of Cox Models The goal of ezcox is to operate a batch of univariate or multivariate Cox models and return tidy result. ⏬

wsa-apktool creates a batch file that uses adb to auto-install apks into the Windows Subsystem for Android and registers it as the default application

Implicit-Q-Learning (IQL) PyTorch implementation of the implicit Q-learning algorithm IQL (Paper) Currently only implemented for online learning. Offl

NFT Smart Batch Auction Smart Batch Auctions are an improvement over the traditional first come first serve (FCFS) NFT drops. FCFS design has been in

SageMaker Projects: Multiple Choice Deployment A SageMaker Projects template to deploy a model from Model Registry, choosing your preferred method of

BoMb-OT Python3 implementation of the papers On Transportation of Mini-batches: A Hierarchical Approach and Improving Mini-batch Optimal Transport via

About This repository the official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning. The config files contain the s

HDLG is a modern cross-platform GUI for hdl-dump with Batch installation capabilities. Looking for Artwork This project is looking for an Icon an

Using AWS Batch jobs to bulk copy/sync files in S3

Python Command-Line Interface Package to copy Dynamodb data in parallel batch processing + query natural & Global Secondary Indexes (GSIs).

Stochastic Training is Not Necessary for Generalization -- Training competitive vision models without stochasticity This repository implements trainin

imgp is a command line image resizer and rotator for JPEG and PNG images.

Imbalanced Dataset Sampler Introduction In many machine learning applications, we often come across datasets where some types of data may be seen more

BitAnime A Python script that allows you to download all of an anime's episodes at once. · Download executable version · About BitAnime BitAnime is a

normalizer This python module is an easy-to-use port of the text normalization used in the paper "Not low-resource anymore: Aligner ensembling, batch

Audio Classification using Wavelet Transform and Deep Learning A step-by-step tutorial to classify audio signals using continuous wavelet transform (C

script to batch and convert with lvgl offline image converter

Batched-Grabber Windows Batch and powershell Discord Token grabber. Made for Troll ! Setup. 1. pip(3) install numpy colored 2. python(3) Batched.py 3.

BatchQL BatchQL is a GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations. This script is not complex, and

Note: this repo has been discontinued, please check code for newer version of the paper here Weight Normalized GAN Code for the paper "On the Effects

Train longer, generalize better - Big batch training This is a code repository used to generate the results appearing in "Train longer, generalize bet

Gradient Cache Gradient Cache is a simple technique for unlimitedly scaling contrastive learning batch far beyond GPU memory constraint. This means tr

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks (SDPoint) This repository contains the cod

Kaldi-compatible feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd

The goal is to classify different birds species based on their songs/calls. Spectrograms have been extracted from the audio samples and used as features for classification.

As Slack no longer provides an API to invite people, this is a Selenium Python script to do so

Batch Soft-DTW(Dynamic Time Warping) in TensorFlow2 including forward and backward computation Custom TensorFlow2 implementations of forward and backw

widevine-L3-WEB-DL-Script This is a batch script created to WEB-DL. Works well with .mpd files , for m3u8 please use n_m3u8 program (not included in t

BNN - BN = ? Training Binary Neural Networks without Batch Normalization Codes for this paper BNN - BN = ? Training Binary Neural Networks without Bat

Representative Batch Normalization (RBN) with Feature Calibration The official implementation of the CVPR2021 oral paper: Representative Batch Normali

geeup: Simple CLI for Earth Engine Uploads with Selenium Support This tool came of the simple need to handle batch uploads of both image assets to col

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization This is the PyTorch implemention of our paper FedBN: Federated Learning on

emcee The Python ensemble sampling toolkit for affine-invariant MCMC emcee is a stable, well tested Python implementation of the affine-invariant ense

Sandwich Batch Normalization Code for Sandwich Batch Normalization. Introduction We present Sandwich Batch Normalization (SaBN), an extremely easy imp

Yolov5 running on TorchServe (GPU compatible) ! This is a dockerfile to run TorchServe for Yolo v5 object detection model. (TorchServe (PyTorch librar

emcee The Python ensemble sampling toolkit for affine-invariant MCMC emcee is a stable, well tested Python implementation of the affine-invariant ense

Luigi is a Python (3.6, 3.7 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow managemen